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https://github.com/allanotieno254/road-accident-data-analysis-dashboard-using-excel

This repository contains the Road Accident Data Analysis Dashboard, a comprehensive Excel-based tool designed to provide in-depth analysis and visualization of road accident data.
https://github.com/allanotieno254/road-accident-data-analysis-dashboard-using-excel

dashboards-excel data-analysis excel kpi visualization

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This repository contains the Road Accident Data Analysis Dashboard, a comprehensive Excel-based tool designed to provide in-depth analysis and visualization of road accident data.

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README

        

# Road Accident Data Analysis Dashboard
![uk road accident dashboard](https://github.com/user-attachments/assets/f328306c-32f9-4b5c-9991-ae6286b66182)
## Overview
This repository contains the **Road Accident Data Analysis Dashboard**, an Excel-based tool designed to analyze and visualize road accident data. The dashboard offers insights into key performance indicators (KPIs), monthly trends, road types, and road surface conditions, aiding in data-driven decision-making for road safety management.

## Features
- **Key Performance Indicators (KPIs):** Quick overview of total casualties, accident severity, and frequency.
- **Monthly Trends:** Visualize accident data over time to identify patterns and seasonal spikes.
- **Road Type Analysis:** Break down accident data by different road types (e.g., highways, urban roads).
- **Road Surface Conditions:** Analyze the impact of different surface conditions on accident rates.
- **Interactive Elements:** Slicers and filters for deep diving into specific data subsets.
- **User-Friendly Design:** Clear layout, color-coded sections, and accessibility considerations.

## Getting Started
1. Clone the repository:
```bash
git clone https://github.com/yourusername/Road-Accident-Data-Analysis-Dashboard.git
```
2. Open the Excel file in the repository.
3. Explore the dashboard and use the interactive features to analyze the data.

## Repository Structure
- **/data:** Contains the raw and processed data files.
- **/dashboard:** Contains the Excel file with the dashboard.
- **/scripts:** (Optional) Python or R scripts used for data analysis.
- **README.md:** This file.
- **LICENSE:** License for the project.

## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
MIT License

Copyright (c) 2024 Allan Otieno Akumu

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
...

## Contributing
Contributions are welcome! Please fork this repository and submit a pull request with your changes.

## Acknowledgments
Special thanks to the individuals and organizations that contributed to the road safety data used in this project.

## Contact
For any questions, please reach out to [Allan Otieno Akumu]([email protected]).[+254 740782619]
![dashboard image](https://github.com/user-attachments/assets/5ffed694-62db-421f-9c36-bdb243a7f487)